1. Essentials of Marketing Research Chapter 12: Sampling Designs and Sampling Procedures

2. SAMPLING TERMINOLOGY SAMPLE POPULATION OR UNIVERSE POPULATION ELEMENT CENSUS

3. SAMPLE A SUBSET OF A LARGER POPULATION

4. POPULATION ANY COMPLETE GROUP –PEOPLE –SALES TERRITORIES –STORES

5. CENSUS INVESTIGATION OF ALL INDIVIDUAL ELEMENTS THAT MAKE UP A POPULATION

6. Define the target population Select a sampling frame Determine if probability or nonprobability sampling will be chosen Plan procedure for selecting sampling units Determine sample size Select actual sampling units Conduct fieldwork Stages in the Selection of a Sample

7. TARGET POPULATION RELEVANT POPULATION OPERATIONALLY DEFINE –e.g., COMIC BOOK READER; ALL STUDENTS, ETC.

8. SAMPLING FRAME A LIST OF ELEMENTS FROM WHICH THE SAMPLE MAY BE DRAWN. SOME KEY CONCEPTS: –WORKING POPULATION –MAILING LISTS - DATA BASE MARKETERS –SAMPLING FRAME ERROR

9. SAMPLING UNITS SINGLE ELEMENT OR GROUP OF ELEMENTS SELECTED FOR THE SAMPLE. SOME PROCEDURAL ISSUES: –PRIMARY SAMPLING UNITS (PSU) –SECONDARY SAMPLING UNITS –TERTIARY SAMPLING UNITS

10. ERRORS ASSOCIATED WITH SAMPLING RANDOM SAMPLING ERROR NONSAMPLING OR SYSTEMATIC ERROR

11. RANDOM SAMPLING ERROR THE DIFFERENCE BETWEEN THE SAMPLE RESULT AND THE RESULT OF A CENSUS CONDUCTED USING IDENTICAL PROCEDURES STATISTICAL FLUCTUATION DUE TO CHANCE VARIATIONS

12. SYSTEMATIC OR NONSAMPLING ERRORS RESULTS IN UNREPRESENTATIVE SAMPLE RESULTS NOT DUE TO CHANCE DUE TO STUDY DESIGN OR IMPERFECTIONS IN EXECUTION –E.G., SAMPLING FRAME ERROR, NON- RESPONSE ERROR, ETC.

13. TWO MAJOR CATEGORIES OF SAMPLING PROBABILITY SAMPLING KNOWN, NONZERO PROBABILITY FOR EVERY ELEMENT NONPROBABILITY SAMPLING PROBABILITY OF SELECTING ANY PARTICULAR MEMBER IS UNKNOWN

14. NONPROBABILITY SAMPLING CONVENIENCE JUDGMENT QUOTA SNOWBALL

15. CONVENIENCE SAMPLING Also called haphazard or accidental sampling The sampling procedure of obtaining the people or units that are most conveniently available.

16. JUDGMENT SAMPLING Also called purposive sampling An experienced individual selects the sample based on his or her judgment about some appropriate characteristics required of the sample member

17. QUOTA SAMPLING Ensures that the various subgroups in a population are represented on pertinent sample characteristics To the exact extent that the investigators desire It should not be confused with stratified sampling.

18. SNOWBALL SAMPLING A variety of procedures Initial respondents are selected by probability or other methods Additional respondents are obtained from information provided by the initial respondents

19. PROBABILITY SAMPLING SIMPLE RANDOM SAMPLE SYSTEMATIC SAMPLE STRATIFIED SAMPLE CLUSTER SAMPLE MULTISTAGE AREA SAMPLE

20. SIMPLE RANDOM SAMPLING A sampling procedure that ensures that each element in the population will have an equal chance of being included in the sample

21. SYSTEMATIC SAMPLING A simple process Every n th name from the list will be drawn

22. STRATIFIED SAMPLING Probability sample Subsamples are drawn within different strata Each stratum is more or less equal on some characteristic Do not confuse with quota sample

23. CLUSTER SAMPLING The purpose of cluster sampling is to sample economically while retaining the characteristics of a probability sample. The primary sampling unit is no longer the individual element in the population. The primary sampling unit is a larger cluster of elements located in proximity to one another.

24. Possible Clusters in Population Element the United States U.S. adult populationStates Counties Metropolitan Statistical Area Census tracts Blocks Households EXAMPLES OF CLUSTERS

25. Possible Clusters Population Elementin the United States College seniors Colleges Manufacturing firms Counties Metropolitan Statistical Areas Localities Plants EXAMPLES OF CLUSTERS

26. Possible Clusters Population Element in the United States Air TravelersAirports Planes Sports FansFootball stadiums Basketball arenas Baseball parks EXAMPLES OF CLUSTERS

27. WHAT IS THE APPROPRIATE SAMPLE DESIGN DEGREE OF ACCURACY RESOURCES TIME ADVANCED KNOWLEDGE OF THE POPULATION NATIONAL VERSUS LOCAL NEED FOR STATISTICAL ANALYSIS

28. AFTER THE SAMPLE DESIGN IS SELECTED DETERMINE SAMPLE SIZE SELECT ACTUAL SAMPLE UNITS CONDUCT FIELDWORK